{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/N/project/suicide_study/pnas_replication/results/log/mi_6.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}20 Aug 2020, 05:59:19
{txt}
{com}. 
. if ("`model'" == "logit"){c -(}
.         use "${c -(}home_dir{c )-}/data/processed/suicide_reg_v1_raw.dta", clear
. {c )-}
{txt}
{com}. 
. if ("`model'" == "mi") {c -(}
.         use "${c -(}home_dir{c )-}/data/processed/suicide_reg_v1_imputed_M10.dta", clear  
. {c )-}
{txt}
{com}. 
. * for now, we use the following simple survey weights 
. if ("`model'" == "mi") {c -(}
.         mi svyset `geo_type' [pw=ObsWgt0] 
{res}
      {txt}pweight:{col 16}{res}ObsWgt0
          {txt}VCE:{col 16}{res}linearized
  {txt}Single unit:{col 16}{res}missing
     {txt}Strata 1:{col 16}<one>
         SU 1:{col 16}{res}county
        {txt}FPC 1:{col 16}<zero>
{p2colreset}{...}
{res}{com}. {c )-}
{txt}
{com}. else {c -(}
.         svyset `geo_type' [pw=ObsWgt0]  
. {c )-}
{txt}
{com}. 
. * margins for each category
. program margin_interact 
{txt}  1{com}.         args X Y k model
{txt}  2{com}.         sum `X', d 
{txt}  3{com}.         local gap = (`r(max)' - `r(min)') / `k' 
{txt}  4{com}.         if ("`model'" == "logit") {c -(}
{txt}  5{com}.                 margin `Y', at(`X' = (`r(min)' (`gap') `r(max)')) predict(pr)
{txt}  6{com}.         {c )-} 
{txt}  7{com}.         else if ("`model'" == "mi") {c -(}
{txt}  8{com}.                 mimrgns `Y', at(`X' = (`r(min)' (`gap') `r(max)')) predict(pr)
{txt}  9{com}.         {c )-}       
{txt} 10{com}. end 
{txt}
{com}. 
. program mchange_mi
{txt}  1{com}.         args X k model
{txt}  2{com}.         if ("`model'" == "logit") {c -(}
{txt}  3{com}. 
.                 if ("`k'" == "continuous") {c -(}
{txt}  4{com}.                         sum `X' if e(sample), d 
{txt}  5{com}.                         margin, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt}  6{com}.                         mlincom  2 - 1, decimal(7) stat(all)    
{txt}  7{com}.                 {c )-} 
{txt}  8{com}.                 else if ("`k'" == "binary") {c -(}
{txt}  9{com}.                         sum `X' if e(sample), d 
{txt} 10{com}.                         margin, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt} 11{com}.                         mlincom  2 - 1, decimal(7) stat(all)
{txt} 12{com}.                 {c )-} 
{txt} 13{com}.                 else if ("`k'" == "categorical") {c -(}
{txt} 14{com}.                         margin `X' if e(sample)==1 , at() pwcompare predict(pr) 
{txt} 15{com}.                 {c )-}
{txt} 16{com}.         {c )-}
{txt} 17{com}. 
.         else if ("`model'" == "mi") {c -(}
{txt} 18{com}. 
.                 if ("`k'" == "continuous") {c -(}
{txt} 19{com}.                         sum `X' , d 
{txt} 20{com}.                         mimrgns, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt} 21{com}.                         mlincom  2 - 1, decimal(7) stat(all)
{txt} 22{com}.                 {c )-} 
{txt} 23{com}.                 else if ("`k'" == "binary") {c -(}
{txt} 24{com}.                         sum `X' , d 
{txt} 25{com}.                         mimrgns, at(`X' = (`r(min)' `r(max)')) post predict(pr)
{txt} 26{com}.                         mlincom  2 - 1, decimal(7) stat(all)
{txt} 27{com}.                 {c )-} 
{txt} 28{com}.                 else if ("`k'" == "categorical") {c -(}
{txt} 29{com}.                         mimrgns `X' , at()   pwcompare predict(pr)      
{txt} 30{com}.                 {c )-}
{txt} 31{com}.         {c )-}
{txt} 32{com}. end
{txt}
{com}. 
. * create some dummy codings
. tab Race5, gen(race5_nh)

      {txt}Race5 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}107,831,845       79.53       79.53
{txt}          2 {c |}{res} 14,631,144       10.79       90.32
{txt}          3 {c |}{res}  2,867,304        2.11       92.44
{txt}          4 {c |}{res}  2,753,311        2.03       94.47
{txt}          5 {c |}{res}  7,499,129        5.53      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}135,582,733      100.00
{txt}
{com}.         rename race5_nh1 White_nh 
{res}{txt}
{com}.         rename race5_nh2 Black_nh 
{res}{txt}
{com}.         rename race5_nh3 AIAN_nh 
{res}{txt}
{com}.         rename race5_nh4 AsPI_nh 
{res}{txt}
{com}.         rename race5_nh5 Hispanic
{res}{txt}
{com}. 
. tab MarStat5, gen(ms)

   {txt}MarStat5 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res} 75,689,936       55.83       55.83
{txt}          2 {c |}{res} 10,166,664        7.50       63.32
{txt}          3 {c |}{res} 13,925,509       10.27       73.60
{txt}          4 {c |}{res}  2,609,308        1.92       75.52
{txt}          5 {c |}{res} 33,190,855       24.48      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}135,582,272      100.00
{txt}
{com}.         rename ms1 Marrd5
{res}{txt}
{com}.         rename ms2 Widow5
{res}{txt}
{com}.         rename ms3 Divor5
{res}{txt}
{com}.         rename ms4 Separ5
{res}{txt}
{com}.         rename ms5 NvMar5
{res}{txt}
{com}. 
. tab AgeGrp4, gen(ag) 

    {txt}AgeGrp4 {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res} 21,231,562       15.66       15.66
{txt}          2 {c |}{res} 39,043,312       28.80       44.46
{txt}          3 {c |}{res} 47,351,260       34.92       79.38
{txt}          4 {c |}{res} 27,956,599       20.62      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}135,582,733      100.00
{txt}
{com}.         rename ag1 Age_15_24
{res}{txt}
{com}.         rename ag2 Age_25_44
{res}{txt}
{com}.         rename ag3 Age_45_64
{res}{txt}
{com}.         rename ag4 Age_65_Up
{res}{txt}
{com}. 
. destring St, replace 
{txt}St: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}. 
. * set-up equations
. local religion Rat_GC_ProE Rat_GC_ProM Rat_GC_ProB Rat_GC_Cath Rat_GC_Jew Rat_GC_Oth
{txt}
{com}. local contextual_control Rat_Poverty Rat_Mig_Cum Pop_Den
{txt}
{com}. 
. local religion Rat_GC_ProE Rat_GC_ProM Rat_GC_ProB Rat_GC_Jew Rat_GC_Oth
{txt}
{com}. local contextual_control Rat_Poverty Rat_Mig_Cum Pop_Den
{txt}
{com}. 
. local demographics_raw i.Female c.RAT_Female i.AgeGrp4 c.RAT_AgeGrp4_2 c.RAT_AgeGrp4_3 c.RAT_AgeGrp4_4 i.Race5 c.RAT_Race5_2 c.RAT_Race5_3 c.RAT_Race5_4 c.RAT_Race5_5 i.BornUSA c.RAT_BornUSA i.MarStat5 c.RAT_MarStat5_2 c.RAT_MarStat5_3 c.RAT_MarStat5_4 c.RAT_MarStat5_5
{txt}
{com}. local demographics_same i.Female c.std_same_prop_Sex i.AgeGrp4 c.std_same_prop_AgeGrp4 i.Race5 c.std_same_prop_Race5 i.BornUSA c.std_same_prop_BornUSA i.MarStat5 c.std_same_prop_MarStat5 
{txt}
{com}. local demographics_inter i.Female##c.std_same_prop_Sex i.AgeGrp4##c.std_same_prop_AgeGrp4 i.Race5##c.std_same_prop_Race5 i.BornUSA##c.std_same_prop_BornUSA i.MarStat5##c.std_same_prop_MarStat5
{txt}
{com}. 
. 
. if (`model_version' == 1){c -(}
.         local model_eq i.Year `demographics_raw' `contextual_control' `religion' 
.         local margin_demographics Female RAT_Female AgeGrp4 RAT_AgeGrp4_2 RAT_AgeGrp4_3 RAT_AgeGrp4_4 Race5 RAT_Race5_2 RAT_Race5_3 RAT_Race5_4 RAT_Race5_5 BornUSA RAT_BornUSA MarStat5 RAT_MarStat5_2 RAT_MarStat5_3 RAT_MarStat5_4 RAT_MarStat5_5 
. {c )-}
{txt}
{com}. if (`model_version' == 2){c -(}
.         local model_eq i.Year `demographics_raw' `contextual_control' `religion' i.UnEmpl c.RAT_UnEmpl i.PhysProb c.RAT_PhysProb
.         local margin_demographics Female RAT_Female AgeGrp4 RAT_AgeGrp4_2 RAT_AgeGrp4_3 RAT_AgeGrp4_4 Race5 RAT_Race5_2 RAT_Race5_3 RAT_Race5_4 RAT_Race5_5 BornUSA RAT_BornUSA MarStat5 RAT_MarStat5_2 RAT_MarStat5_3 RAT_MarStat5_4 RAT_MarStat5_5 UnEmpl RAT_UnEmpl PhysProb RAT_PhysProb
. {c )-}
{txt}
{com}. if (`model_version' == 3){c -(}
.         local model_eq i.Year `demographics_same' `contextual_control' `religion' 
.         local margin_demographics Female std_same_prop_Sex AgeGrp4 std_same_prop_AgeGrp4 Race5 std_same_prop_Race5 BornUSA std_same_prop_BornUSA MarStat5 std_same_prop_MarStat5 
. {c )-}
{txt}
{com}. if (`model_version' == 4){c -(}
.         local model_eq i.Year `demographics_same' `contextual_control' `religion' i.UnEmpl c.std_same_prop_UnEmpl i.PhysProb c.std_same_prop_PhysProb
.         local margin_demographics Female std_same_prop_Sex AgeGrp4 std_same_prop_AgeGrp4 Race5 std_same_prop_Race5 BornUSA std_same_prop_BornUSA MarStat5 std_same_prop_MarStat5 UnEmpl std_same_prop_UnEmpl PhysProb std_same_prop_PhysProb
. {c )-}
{txt}
{com}. if (`model_version' == 5){c -(}
.         local model_eq i.Year `demographics_inter' `contextual_control' `religion' 
. {c )-}
{txt}
{com}. if (`model_version' == 6){c -(}
.         local model_eq i.Year `demographics_inter' `contextual_control' `religion' i.UnEmpl##c.std_same_prop_UnEmpl i.PhysProb##c.std_same_prop_PhysProb
. {c )-}       
{txt}
{com}. * test how long it would take.
. * mi estimate: svy: mean Suic 
. * local demographics i.Female c.RAT_Female i.AgeGrp4 c.RAT_AgeGrp4_2 c.RAT_AgeGrp4_3 c.RAT_AgeGrp4_4 i.Race5 c.RAT_Race5_2 c.RAT_Race5_3 c.RAT_Race5_4 c.RAT_Race5_5 i.BornUSA c.RAT_BornUSA i.MarStat5 c.RAT_MarStat5_2 c.RAT_MarStat5_3 c.RAT_MarStat5_4 c.RAT_MarStat5_5
. * mi estimate: svy: logit Suic i.St `demographics' UnEmpl RAT_UnEmpl PhysProb RAT_PhysProb
. 
. * main effects : margins
. if ("`model'" == "mi"){c -(}
. 
.         mi estimate: svy: logit Suic i.St `model_eq', or 
{res}
{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Survey: Logistic regression{col 47}Number of obs{col 65}= {res}  11,814,307

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,786,443
{txt}{col 1}Number of PSUs{col 19}= {res}      918
{txt}{col 47}Average RVI{col 65}= {res}      0.0169
{txt}{col 47}Largest FMI{col 65}= {res}      0.3343
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}       77.50
{txt}{col 47}        avg{col 65}= {res}      887.40
{txt}{col 47}        max{col 65}= {res}      914.97
{txt}Model F test:{ralign 16: {res:Equal FMI}}{col 47}F({res}  66{txt},{res}  914.6{txt}){col 65}= {res}      734.47
{txt}Within VCE type: {ralign 12:{res:Linearized}}{col 47}Prob > F{col 65}= {res}      0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        Suic{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}St {c |}
{space 10}8  {c |}{col 14}{res}{space 2} -.091198{col 26}{space 2} .1081567{col 37}{space 1}   -0.84{col 46}{space 3}0.399{col 54}{space 4} -.303462{col 67}{space 3} .1210659
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.4247772{col 26}{space 2} .1128287{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.6462104{col 67}{space 3} -.203344
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.5845847{col 26}{space 2} .1103883{col 37}{space 1}   -5.30{col 46}{space 3}0.000{col 54}{space 4}-.8012285{col 67}{space 3}-.3679409
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.7748937{col 26}{space 2} .1123911{col 37}{space 1}   -6.89{col 46}{space 3}0.000{col 54}{space 4} -.995468{col 67}{space 3}-.5543193
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.9790608{col 26}{space 2}  .112398{col 37}{space 1}   -8.71{col 46}{space 3}0.000{col 54}{space 4}-1.199649{col 67}{space 3}-.7584729
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.8902003{col 26}{space 2} .1152956{col 37}{space 1}   -7.72{col 46}{space 3}0.000{col 54}{space 4}-1.116475{col 67}{space 3}-.6639258
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.2105894{col 26}{space 2} .1286516{col 37}{space 1}   -1.64{col 46}{space 3}0.102{col 54}{space 4}-.4630759{col 67}{space 3} .0418971
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.4157689{col 26}{space 2} .1145706{col 37}{space 1}   -3.63{col 46}{space 3}0.000{col 54}{space 4}-.6406206{col 67}{space 3}-.1909171
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.7259289{col 26}{space 2} .1193517{col 37}{space 1}   -6.08{col 46}{space 3}0.000{col 54}{space 4}-.9601639{col 67}{space 3} -.491694
{txt}{space 9}41  {c |}{col 14}{res}{space 2}-.2204536{col 26}{space 2} .1078107{col 37}{space 1}   -2.04{col 46}{space 3}0.041{col 54}{space 4}-.4320386{col 67}{space 3}-.0088686
{txt}{space 9}44  {c |}{col 14}{res}{space 2}  -.82353{col 26}{space 2}  .109424{col 37}{space 1}   -7.53{col 46}{space 3}0.000{col 54}{space 4}-1.038281{col 67}{space 3}-.6087787
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.4530957{col 26}{space 2} .1123414{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.6735725{col 67}{space 3}-.2326189
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .5530418{col 26}{space 2} .2004459{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .1596545{col 67}{space 3}  .946429
{txt}{space 9}51  {c |}{col 14}{res}{space 2}-.4824285{col 26}{space 2} .1128838{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4}-.7039697{col 67}{space 3}-.2608872
{txt}{space 9}55  {c |}{col 14}{res}{space 2}-.6079418{col 26}{space 2} .1109326{col 37}{space 1}   -5.48{col 46}{space 3}0.000{col 54}{space 4}-.8256537{col 67}{space 3}  -.39023
{txt}{space 12} {c |}
{space 8}Year {c |}
{space 7}2006  {c |}{col 14}{res}{space 2}-.0357186{col 26}{space 2} .0183912{col 37}{space 1}   -1.94{col 46}{space 3}0.052{col 54}{space 4}-.0718127{col 67}{space 3} .0003754
{txt}{space 7}2007  {c |}{col 14}{res}{space 2}  .040135{col 26}{space 2} .0189992{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0028479{col 67}{space 3} .0774222
{txt}{space 7}2008  {c |}{col 14}{res}{space 2} .0473612{col 26}{space 2} .0205542{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .0070224{col 67}{space 3} .0877001
{txt}{space 7}2009  {c |}{col 14}{res}{space 2}-.0047142{col 26}{space 2} .0199814{col 37}{space 1}   -0.24{col 46}{space 3}0.814{col 54}{space 4}-.0439296{col 67}{space 3} .0345013
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.0390241{col 26}{space 2} .0220072{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4} -.082216{col 67}{space 3} .0041679
{txt}{space 7}2011  {c |}{col 14}{res}{space 2} .0270726{col 26}{space 2} .0235746{col 37}{space 1}    1.15{col 46}{space 3}0.251{col 54}{space 4}-.0191946{col 67}{space 3} .0733398
{txt}{space 12} {c |}
{space 4}1.Female {c |}{col 14}{res}{space 2}-1.336141{col 26}{space 2} .0157622{col 37}{space 1}  -84.77{col 46}{space 3}0.000{col 54}{space 4}-1.367075{col 67}{space 3}-1.305206
{txt}std_same_p~x {c |}{col 14}{res}{space 2}-.0214801{col 26}{space 2} .0118106{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4} -.044659{col 67}{space 3} .0016989
{txt}{space 12} {c |}
{space 6}Female#{c |}
{space 10}c. {c |}
std_same_p~x {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0122383{col 26}{space 2} .0233603{col 37}{space 1}    0.52{col 46}{space 3}0.600{col 54}{space 4}-.0336078{col 67}{space 3} .0580843
{txt}{space 12} {c |}
{space 5}AgeGrp4 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .8307229{col 26}{space 2} .0223934{col 37}{space 1}   37.10{col 46}{space 3}0.000{col 54}{space 4} .7867736{col 67}{space 3} .8746722
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .9403777{col 26}{space 2} .0283444{col 37}{space 1}   33.18{col 46}{space 3}0.000{col 54}{space 4} .8847477{col 67}{space 3} .9960076
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .7996316{col 26}{space 2} .0352326{col 37}{space 1}   22.70{col 46}{space 3}0.000{col 54}{space 4} .7304612{col 67}{space 3}  .868802
{txt}{space 12} {c |}
std_same_p~4 {c |}{col 14}{res}{space 2}-.0164463{col 26}{space 2} .0180568{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-.0518839{col 67}{space 3} .0189913
{txt}{space 12} {c |}
{space 5}AgeGrp4#{c |}
{space 10}c. {c |}
std_same_p~4 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0147055{col 26}{space 2} .0204914{col 37}{space 1}   -0.72{col 46}{space 3}0.473{col 54}{space 4}-.0549211{col 67}{space 3}   .02551
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.015417{col 26}{space 2} .0208413{col 37}{space 1}   -0.74{col 46}{space 3}0.460{col 54}{space 4}-.0563193{col 67}{space 3} .0254852
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .053134{col 26}{space 2} .0258843{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4} .0023343{col 67}{space 3} .1039337
{txt}{space 12} {c |}
{space 7}Race5 {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-1.041346{col 26}{space 2} .0357171{col 37}{space 1}  -29.16{col 46}{space 3}0.000{col 54}{space 4}-1.111443{col 67}{space 3}-.9712484
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2630717{col 26}{space 2} .0753078{col 37}{space 1}   -3.49{col 46}{space 3}0.000{col 54}{space 4} -.410868{col 67}{space 3}-.1152753
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5118232{col 26}{space 2} .0581996{col 37}{space 1}   -8.79{col 46}{space 3}0.000{col 54}{space 4}-.6260434{col 67}{space 3}-.3976031
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.8249461{col 26}{space 2} .0426561{col 37}{space 1}  -19.34{col 46}{space 3}0.000{col 54}{space 4}-.9086613{col 67}{space 3}-.7412309
{txt}{space 12} {c |}
std_same_~e5 {c |}{col 14}{res}{space 2}-.1137186{col 26}{space 2} .0185353{col 37}{space 1}   -6.14{col 46}{space 3}0.000{col 54}{space 4}-.1500955{col 67}{space 3}-.0773418
{txt}{space 12} {c |}
{space 7}Race5#{c |}
{space 10}c. {c |}
std_same_~e5 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .1100779{col 26}{space 2} .0444474{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4} .0228471{col 67}{space 3} .1973087
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2347116{col 26}{space 2} .0558615{col 37}{space 1}    4.20{col 46}{space 3}0.000{col 54}{space 4}   .12508{col 67}{space 3} .3443432
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1765877{col 26}{space 2} .0264125{col 37}{space 1}    6.69{col 46}{space 3}0.000{col 54}{space 4} .1247515{col 67}{space 3} .2284239
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2118557{col 26}{space 2}  .029945{col 37}{space 1}    7.07{col 46}{space 3}0.000{col 54}{space 4} .1530868{col 67}{space 3} .2706246
{txt}{space 12} {c |}
{space 3}1.BornUSA {c |}{col 14}{res}{space 2} .4050497{col 26}{space 2} .0412649{col 37}{space 1}    9.82{col 46}{space 3}0.000{col 54}{space 4} .3240648{col 67}{space 3} .4860347
{txt}std_same_p~A {c |}{col 14}{res}{space 2}-.0412657{col 26}{space 2} .0193401{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-.0792218{col 67}{space 3}-.0033096
{txt}{space 12} {c |}
{space 5}BornUSA#{c |}
{space 10}c. {c |}
std_same_p~A {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0802151{col 26}{space 2} .0275407{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .0261648{col 67}{space 3} .1342655
{txt}{space 12} {c |}
{space 4}MarStat5 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .6779444{col 26}{space 2} .0234864{col 37}{space 1}   28.87{col 46}{space 3}0.000{col 54}{space 4} .6318499{col 67}{space 3} .7240389
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .9630112{col 26}{space 2} .0146868{col 37}{space 1}   65.57{col 46}{space 3}0.000{col 54}{space 4} .9341754{col 67}{space 3} .9918471
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2823484{col 26}{space 2} .0911687{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4} -.461274{col 67}{space 3}-.1034229
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5969805{col 26}{space 2} .0188271{col 37}{space 1}   31.71{col 46}{space 3}0.000{col 54}{space 4} .5600237{col 67}{space 3} .6339373
{txt}{space 12} {c |}
std_same_~t5 {c |}{col 14}{res}{space 2}-.0695505{col 26}{space 2} .0114635{col 37}{space 1}   -6.07{col 46}{space 3}0.000{col 54}{space 4}-.0920484{col 67}{space 3}-.0470526
{txt}{space 12} {c |}
{space 4}MarStat5#{c |}
{space 10}c. {c |}
std_same_~t5 {c |}
{space 10}2  {c |}{col 14}{res}{space 2} .0030351{col 26}{space 2}  .026602{col 37}{space 1}    0.11{col 46}{space 3}0.909{col 54}{space 4}-.0491733{col 67}{space 3} .0552436
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0130481{col 26}{space 2} .0166352{col 37}{space 1}    0.78{col 46}{space 3}0.433{col 54}{space 4}-.0195997{col 67}{space 3} .0456958
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0712093{col 26}{space 2} .0690461{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.2067169{col 67}{space 3} .0642984
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .1263804{col 26}{space 2} .0175773{col 37}{space 1}    7.19{col 46}{space 3}0.000{col 54}{space 4} .0918837{col 67}{space 3} .1608772
{txt}{space 12} {c |}
{space 1}Rat_Poverty {c |}{col 14}{res}{space 2}-.0103725{col 26}{space 2} .0024433{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.0151677{col 67}{space 3}-.0055773
{txt}{space 1}Rat_Mig_Cum {c |}{col 14}{res}{space 2} -1.58363{col 26}{space 2} .5581972{col 37}{space 1}   -2.84{col 46}{space 3}0.005{col 54}{space 4}-2.679126{col 67}{space 3}-.4881342
{txt}{space 5}Pop_Den {c |}{col 14}{res}{space 2} 1.55e-06{col 26}{space 2} 7.13e-06{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.0000125{col 67}{space 3} .0000155
{txt}{space 1}Rat_GC_ProE {c |}{col 14}{res}{space 2} 7.89e-06{col 26}{space 2}   .00001{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.0000118{col 67}{space 3} .0000276
{txt}{space 1}Rat_GC_ProM {c |}{col 14}{res}{space 2} 5.01e-06{col 26}{space 2} .0000127{col 37}{space 1}    0.40{col 46}{space 3}0.692{col 54}{space 4}-.0000198{col 67}{space 3} .0000298
{txt}{space 1}Rat_GC_ProB {c |}{col 14}{res}{space 2}-.0000859{col 26}{space 2} .0000439{col 37}{space 1}   -1.96{col 46}{space 3}0.050{col 54}{space 4} -.000172{col 67}{space 3} 1.45e-07
{txt}{space 2}Rat_GC_Jew {c |}{col 14}{res}{space 2} .0001406{col 26}{space 2}   .00009{col 37}{space 1}    1.56{col 46}{space 3}0.119{col 54}{space 4}-.0000361{col 67}{space 3} .0003173
{txt}{space 2}Rat_GC_Oth {c |}{col 14}{res}{space 2}-.0000957{col 26}{space 2} .0000275{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4}-.0001496{col 67}{space 3}-.0000417
{txt}{space 4}1.UnEmpl {c |}{col 14}{res}{space 2} 1.947662{col 26}{space 2} .0436274{col 37}{space 1}   44.64{col 46}{space 3}0.000{col 54}{space 4} 1.860797{col 67}{space 3} 2.034526
{txt}std_same_p~l {c |}{col 14}{res}{space 2} .1502458{col 26}{space 2} .0266174{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} .0980012{col 67}{space 3} .2024905
{txt}{space 12} {c |}
{space 6}UnEmpl#{c |}
{space 10}c. {c |}
std_same_p~l {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3452956{col 26}{space 2} .0463158{col 37}{space 1}   -7.46{col 46}{space 3}0.000{col 54}{space 4}-.4361973{col 67}{space 3}-.2543939
{txt}{space 12} {c |}
{space 2}1.PhysProb {c |}{col 14}{res}{space 2} .3383171{col 26}{space 2} .0242123{col 37}{space 1}   13.97{col 46}{space 3}0.000{col 54}{space 4}  .290783{col 67}{space 3} .3858512
{txt}std_same_p~b {c |}{col 14}{res}{space 2}-.1525465{col 26}{space 2} .0181183{col 37}{space 1}   -8.42{col 46}{space 3}0.000{col 54}{space 4}-.1881051{col 67}{space 3} -.116988
{txt}{space 12} {c |}
{space 4}PhysProb#{c |}
{space 10}c. {c |}
std_same_p~b {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0396328{col 26}{space 2} .0372869{col 37}{space 1}    1.06{col 46}{space 3}0.288{col 54}{space 4}-.0335467{col 67}{space 3} .1128123
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} -9.08987{col 26}{space 2} .1234485{col 37}{space 1}  -73.63{col 46}{space 3}0.000{col 54}{space 4}-9.332147{col 67}{space 3}-8.847594
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates store m1 
. 
.         if (`model_version' <= 4){c -(}
.                 estimates restore m1
.                 mchange_mi Female "binary" "mi"
.                 estimates restore m1
.                 mchange_mi AgeGrp4 "categorical" "mi"
.                 estimates restore m1
.                 mchange_mi Race5 "categorical" "mi"
.                 estimates restore m1
.                 mchange_mi BornUSA "binary" "mi"
.                 estimates restore m1
.                 mchange_mi MarStat5 "categorical" "mi"
.                 
.                 if (`model_version' == 1 | `model_version' == 2) {c -(}
.                         estimates restore m1
.                         mchange_mi RAT_Female "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_AgeGrp4_2 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_AgeGrp4_3 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_AgeGrp4_4 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_Race5_2 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_Race5_3 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_Race5_4 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_Race5_5 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_BornUSA "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_MarStat5_2 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_MarStat5_3 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_MarStat5_4 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_MarStat5_5 "continuous" "mi"
.                 {c )-}
.                 if (`model_version' == 3 | `model_version' == 4) {c -(}
.                         estimates restore m1
.                         mchange_mi std_same_prop_Sex "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_AgeGrp4 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_Race5 "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_BornUSA "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_MarStat5 "continuous" "mi"
.                 {c )-}
.         
.                 if (`model_version' == 2 | `model_version' == 4){c -(}
.                         estimates restore m1
.                         mchange_mi UnEmpl "categorical" "mi"
.                         estimates restore m1
.                         mchange_mi PhysProb "categorical" "mi"
.                 {c )-}
.         
.                 if (`model_version' == 2){c -(}
.                         estimates restore m1
.                         mchange_mi RAT_UnEmpl "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi RAT_PhysProb "continuous" "mi"
.                 {c )-}
.                 if (`model_version' == 4){c -(}
.                         estimates restore m1
.                         mchange_mi std_same_prop_UnEmpl "continuous" "mi"
.                         estimates restore m1
.                         mchange_mi std_same_prop_PhysProb "continuous" "mi"
.                 {c )-}               
.         {c )-}
. {c )-}
{txt}
{com}. 
. if ("`model'" == "logit"){c -(}
.         svy: logit Suic i.St `model_eq', or 
.         estimates store m1 
. 
.         if (`model_version' <= 4){c -(}
.                 mchange `margin_demographics', amount(all) delta(100) statistics(all) decimals(7)
.         {c )-}
. 
. {c )-}
{txt}
{com}. 
. if (`model_version' == 5 | `model_version' == 6) {c -(}
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_Sex Female 5 `model'

                      {txt}std_same_prop_Sex
{hline 61}
      Percentiles      Smallest
 1%    {res}-2.509072      -4.036727
{txt} 5%    {res}-1.338853      -4.036727
{txt}10%    {res}-.9852811      -4.036727       {txt}Obs         {res}135,582,733
{txt}25%    {res}-.5357422      -4.036727       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} .0312444                      {txt}Mean          {res}  .027466
                        {txt}Largest       Std. Dev.     {res} .9119966
{txt}75%    {res} .5763232       4.036727
{txt}90%    {res} 1.032018       4.036727       {txt}Variance      {res} .8317377
{txt}95%    {res} 1.401881       4.036727       {txt}Skewness      {res} .0293361
{txt}99%    {res} 2.682605       4.036727       {txt}Kurtosis      {res} 4.966479

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,764,378

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,786,443
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,079,265
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0010
{txt}{col 47}Largest FMI{col 65}= {res}      0.0038
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      910.28
{txt}{col 47}        avg{col 65}= {res}      914.01
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      914.88

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 2}-4.036727}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 2}-2.422036}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 2}-.8073453}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 3}.8073453}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 3}2.422036}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~x}{space 4}{txt:=} {space 3}4.036727}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}_at#Female {c |}
{space 8}1 0  {c |}{col 14}{res}{space 2} .0002599{col 26}{space 2} .0000121{col 37}{space 1}   21.47{col 46}{space 3}0.000{col 54}{space 4} .0002362{col 67}{space 3} .0002837
{txt}{space 8}1 1  {c |}{col 14}{res}{space 2} .0000651{col 26}{space 2} 4.58e-06{col 37}{space 1}   14.22{col 46}{space 3}0.000{col 54}{space 4} .0000561{col 67}{space 3} .0000741
{txt}{space 8}2 0  {c |}{col 14}{res}{space 2} .0002511{col 26}{space 2} 7.07e-06{col 37}{space 1}   35.53{col 46}{space 3}0.000{col 54}{space 4} .0002372{col 67}{space 3} .0002649
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0000641{col 26}{space 2} 2.89e-06{col 37}{space 1}   22.16{col 46}{space 3}0.000{col 54}{space 4} .0000584{col 67}{space 3} .0000698
{txt}{space 8}3 0  {c |}{col 14}{res}{space 2} .0002425{col 26}{space 2} 2.88e-06{col 37}{space 1}   84.09{col 46}{space 3}0.000{col 54}{space 4} .0002369{col 67}{space 3} .0002482
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0000632{col 26}{space 2} 1.36e-06{col 37}{space 1}   46.39{col 46}{space 3}0.000{col 54}{space 4} .0000605{col 67}{space 3} .0000658
{txt}{space 8}4 0  {c |}{col 14}{res}{space 2} .0002343{col 26}{space 2} 3.45e-06{col 37}{space 1}   67.91{col 46}{space 3}0.000{col 54}{space 4} .0002275{col 67}{space 3}  .000241
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0000622{col 26}{space 2} 9.45e-07{col 37}{space 1}   65.85{col 46}{space 3}0.000{col 54}{space 4} .0000604{col 67}{space 3} .0000641
{txt}{space 8}5 0  {c |}{col 14}{res}{space 2} .0002263{col 26}{space 2} 7.22e-06{col 37}{space 1}   31.33{col 46}{space 3}0.000{col 54}{space 4} .0002121{col 67}{space 3} .0002405
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0000613{col 26}{space 2} 2.24e-06{col 37}{space 1}   27.37{col 46}{space 3}0.000{col 54}{space 4} .0000569{col 67}{space 3} .0000657
{txt}{space 8}6 0  {c |}{col 14}{res}{space 2} .0002186{col 26}{space 2}  .000011{col 37}{space 1}   19.82{col 46}{space 3}0.000{col 54}{space 4} .0001969{col 67}{space 3} .0002402
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0000604{col 26}{space 2} 3.71e-06{col 37}{space 1}   16.27{col 46}{space 3}0.000{col 54}{space 4} .0000531{col 67}{space 3} .0000677
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_AgeGrp4 AgeGrp4 5 `model'

                    {txt}std_same_prop_AgeGrp4
{hline 61}
      Percentiles      Smallest
 1%    {res}-2.469153      -5.047376
{txt} 5%    {res}-1.445343      -5.047376
{txt}10%    {res}-1.068901      -5.047376       {txt}Obs         {res}135,582,733
{txt}25%    {res} -.504598      -5.047376       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} .0808892                      {txt}Mean          {res}  .127631
                        {txt}Largest       Std. Dev.     {res} 1.053953
{txt}75%    {res} .6954771       6.771116
{txt}90%    {res} 1.347035       6.771116       {txt}Variance      {res} 1.110817
{txt}95%    {res} 1.891168       6.771116       {txt}Skewness      {res} .3782019
{txt}99%    {res} 2.953919       6.771116       {txt}Kurtosis      {res}  5.03041

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,764,378

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,786,443
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,079,265
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0051
{txt}{col 47}Largest FMI{col 65}= {res}      0.0662
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      609.29
{txt}{col 47}        avg{col 65}= {res}      896.57
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      914.86

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 2}-5.047376}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 2}-2.683678}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 2}-.3199793}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 3}2.043719}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 3}4.407417}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~4}{space 4}{txt:=} {space 3}6.771116}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}_at#AgeGrp4 {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .0000797{col 26}{space 2} 7.39e-06{col 37}{space 1}   10.78{col 46}{space 3}0.000{col 54}{space 4} .0000652{col 67}{space 3} .0000942
{txt}{space 8}1 2  {c |}{col 14}{res}{space 2} .0001968{col 26}{space 2}  .000012{col 37}{space 1}   16.45{col 46}{space 3}0.000{col 54}{space 4} .0001733{col 67}{space 3} .0002203
{txt}{space 8}1 3  {c |}{col 14}{res}{space 2} .0002204{col 26}{space 2} 9.97e-06{col 37}{space 1}   22.10{col 46}{space 3}0.000{col 54}{space 4} .0002008{col 67}{space 3} .0002399
{txt}{space 8}1 4  {c |}{col 14}{res}{space 2} .0001355{col 26}{space 2} .0000126{col 37}{space 1}   10.79{col 46}{space 3}0.000{col 54}{space 4} .0001109{col 67}{space 3} .0001601
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0000766{col 26}{space 2} 4.03e-06{col 37}{space 1}   19.03{col 46}{space 3}0.000{col 54}{space 4} .0000687{col 67}{space 3} .0000845
{txt}{space 8}2 2  {c |}{col 14}{res}{space 2} .0001828{col 26}{space 2} 6.42e-06{col 37}{space 1}   28.49{col 46}{space 3}0.000{col 54}{space 4} .0001702{col 67}{space 3} .0001954
{txt}{space 8}2 3  {c |}{col 14}{res}{space 2} .0002044{col 26}{space 2} 5.20e-06{col 37}{space 1}   39.33{col 46}{space 3}0.000{col 54}{space 4} .0001942{col 67}{space 3} .0002146
{txt}{space 8}2 4  {c |}{col 14}{res}{space 2} .0001478{col 26}{space 2} 7.42e-06{col 37}{space 1}   19.92{col 46}{space 3}0.000{col 54}{space 4} .0001332{col 67}{space 3} .0001623
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0000737{col 26}{space 2} 1.74e-06{col 37}{space 1}   42.31{col 46}{space 3}0.000{col 54}{space 4} .0000703{col 67}{space 3} .0000771
{txt}{space 8}3 2  {c |}{col 14}{res}{space 2} .0001699{col 26}{space 2} 2.22e-06{col 37}{space 1}   76.53{col 46}{space 3}0.000{col 54}{space 4} .0001655{col 67}{space 3} .0001742
{txt}{space 8}3 3  {c |}{col 14}{res}{space 2} .0001896{col 26}{space 2} 2.14e-06{col 37}{space 1}   88.39{col 46}{space 3}0.000{col 54}{space 4} .0001854{col 67}{space 3} .0001938
{txt}{space 8}3 4  {c |}{col 14}{res}{space 2} .0001611{col 26}{space 2} 3.16e-06{col 37}{space 1}   51.05{col 46}{space 3}0.000{col 54}{space 4} .0001549{col 67}{space 3} .0001673
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0000709{col 26}{space 2} 3.17e-06{col 37}{space 1}   22.38{col 46}{space 3}0.000{col 54}{space 4} .0000647{col 67}{space 3} .0000771
{txt}{space 8}4 2  {c |}{col 14}{res}{space 2} .0001578{col 26}{space 2} 3.57e-06{col 37}{space 1}   44.16{col 46}{space 3}0.000{col 54}{space 4} .0001508{col 67}{space 3} .0001648
{txt}{space 8}4 3  {c |}{col 14}{res}{space 2} .0001758{col 26}{space 2} 3.90e-06{col 37}{space 1}   45.08{col 46}{space 3}0.000{col 54}{space 4} .0001682{col 67}{space 3} .0001835
{txt}{space 8}4 4  {c |}{col 14}{res}{space 2} .0001757{col 26}{space 2} 8.20e-06{col 37}{space 1}   21.44{col 46}{space 3}0.000{col 54}{space 4} .0001596{col 67}{space 3} .0001918
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0000682{col 26}{space 2} 5.74e-06{col 37}{space 1}   11.89{col 46}{space 3}0.000{col 54}{space 4} .0000569{col 67}{space 3} .0000794
{txt}{space 8}5 2  {c |}{col 14}{res}{space 2} .0001466{col 26}{space 2} 6.97e-06{col 37}{space 1}   21.04{col 46}{space 3}0.000{col 54}{space 4} .0001329{col 67}{space 3} .0001603
{txt}{space 8}5 3  {c |}{col 14}{res}{space 2} .0001631{col 26}{space 2} 6.80e-06{col 37}{space 1}   23.98{col 46}{space 3}0.000{col 54}{space 4} .0001497{col 67}{space 3} .0001764
{txt}{space 8}5 4  {c |}{col 14}{res}{space 2} .0001916{col 26}{space 2}  .000017{col 37}{space 1}   11.26{col 46}{space 3}0.000{col 54}{space 4} .0001582{col 67}{space 3}  .000225
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0000656{col 26}{space 2} 8.24e-06{col 37}{space 1}    7.96{col 46}{space 3}0.000{col 54}{space 4} .0000494{col 67}{space 3} .0000818
{txt}{space 8}6 2  {c |}{col 14}{res}{space 2} .0001362{col 26}{space 2}   .00001{col 37}{space 1}   13.60{col 46}{space 3}0.000{col 54}{space 4} .0001166{col 67}{space 3} .0001559
{txt}{space 8}6 3  {c |}{col 14}{res}{space 2} .0001513{col 26}{space 2} 9.41e-06{col 37}{space 1}   16.08{col 46}{space 3}0.000{col 54}{space 4} .0001328{col 67}{space 3} .0001697
{txt}{space 8}6 4  {c |}{col 14}{res}{space 2}  .000209{col 26}{space 2} .0000277{col 37}{space 1}    7.55{col 46}{space 3}0.000{col 54}{space 4} .0001547{col 67}{space 3} .0002633
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_Race5 Race5 5 `model'

                     {txt}std_same_prop_Race5
{hline 61}
      Percentiles      Smallest
 1%    {res}-2.270736      -3.614547
{txt} 5%    {res}-1.387242      -3.614547
{txt}10%    {res}-.9511417      -3.614547       {txt}Obs         {res}135,582,733
{txt}25%    {res}-.2595515      -3.614547       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} .4283832                      {txt}Mean          {res} .4242603
                        {txt}Largest       Std. Dev.     {res} 1.233905
{txt}75%    {res} 1.013094       8.750521
{txt}90%    {res} 1.238259       8.750521       {txt}Variance      {res} 1.522523
{txt}95%    {res} 2.074838       8.750521       {txt}Skewness      {res} 1.661957
{txt}99%    {res} 6.478749       8.750521       {txt}Kurtosis      {res} 11.30467

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,764,378

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,786,443
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,079,265
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0009
{txt}{col 47}Largest FMI{col 65}= {res}      0.0037
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      910.35
{txt}{col 47}        avg{col 65}= {res}      914.20
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      914.93

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 2}-3.614547}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 2}-1.141534}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 4}1.33148}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 3}3.804493}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 3}6.277507}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_~e5}{space 4}{txt:=} {space 3}8.750521}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}_at#Race5 {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .0002616{col 26}{space 2} .0000173{col 37}{space 1}   15.14{col 46}{space 3}0.000{col 54}{space 4} .0002277{col 67}{space 3} .0002955
{txt}{space 8}1 2  {c |}{col 14}{res}{space 2} .0000621{col 26}{space 2} 9.07e-06{col 37}{space 1}    6.84{col 46}{space 3}0.000{col 54}{space 4} .0000443{col 67}{space 3} .0000799
{txt}{space 8}1 3  {c |}{col 14}{res}{space 2} .0000862{col 26}{space 2} .0000194{col 37}{space 1}    4.44{col 46}{space 3}0.000{col 54}{space 4} .0000481{col 67}{space 3} .0001243
{txt}{space 8}1 4  {c |}{col 14}{res}{space 2} .0000829{col 26}{space 2} 8.94e-06{col 37}{space 1}    9.27{col 46}{space 3}0.000{col 54}{space 4} .0000653{col 67}{space 3} .0001004
{txt}{space 8}1 5  {c |}{col 14}{res}{space 2} .0000534{col 26}{space 2} 5.31e-06{col 37}{space 1}   10.04{col 46}{space 3}0.000{col 54}{space 4} .0000429{col 67}{space 3} .0000638
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0001975{col 26}{space 2} 4.20e-06{col 37}{space 1}   47.07{col 46}{space 3}0.000{col 54}{space 4} .0001893{col 67}{space 3} .0002058
{txt}{space 8}2 2  {c |}{col 14}{res}{space 2} .0000615{col 26}{space 2} 4.07e-06{col 37}{space 1}   15.13{col 46}{space 3}0.000{col 54}{space 4} .0000535{col 67}{space 3} .0000695
{txt}{space 8}2 3  {c |}{col 14}{res}{space 2} .0001162{col 26}{space 2} .0000131{col 37}{space 1}    8.87{col 46}{space 3}0.000{col 54}{space 4} .0000905{col 67}{space 3} .0001419
{txt}{space 8}2 4  {c |}{col 14}{res}{space 2} .0000968{col 26}{space 2} 7.03e-06{col 37}{space 1}   13.77{col 46}{space 3}0.000{col 54}{space 4}  .000083{col 67}{space 3} .0001106
{txt}{space 8}2 5  {c |}{col 14}{res}{space 2}  .000068{col 26}{space 2} 3.96e-06{col 37}{space 1}   17.19{col 46}{space 3}0.000{col 54}{space 4} .0000602{col 67}{space 3} .0000758
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0001491{col 26}{space 2} 4.04e-06{col 37}{space 1}   36.92{col 46}{space 3}0.000{col 54}{space 4} .0001412{col 67}{space 3} .0001571
{txt}{space 8}3 2  {c |}{col 14}{res}{space 2}  .000061{col 26}{space 2} 2.12e-06{col 37}{space 1}   28.82{col 46}{space 3}0.000{col 54}{space 4} .0000568{col 67}{space 3} .0000651
{txt}{space 8}3 3  {c |}{col 14}{res}{space 2} .0001567{col 26}{space 2} .0000119{col 37}{space 1}   13.19{col 46}{space 3}0.000{col 54}{space 4} .0001334{col 67}{space 3}   .00018
{txt}{space 8}3 4  {c |}{col 14}{res}{space 2} .0001131{col 26}{space 2} 5.05e-06{col 37}{space 1}   22.41{col 46}{space 3}0.000{col 54}{space 4} .0001032{col 67}{space 3}  .000123
{txt}{space 8}3 5  {c |}{col 14}{res}{space 2} .0000867{col 26}{space 2} 2.95e-06{col 37}{space 1}   29.40{col 46}{space 3}0.000{col 54}{space 4} .0000809{col 67}{space 3} .0000925
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0001126{col 26}{space 2} 8.13e-06{col 37}{space 1}   13.85{col 46}{space 3}0.000{col 54}{space 4} .0000966{col 67}{space 3} .0001286
{txt}{space 8}4 2  {c |}{col 14}{res}{space 2} .0000604{col 26}{space 2} 6.58e-06{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .0000475{col 67}{space 3} .0000733
{txt}{space 8}4 3  {c |}{col 14}{res}{space 2} .0002113{col 26}{space 2} .0000365{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} .0001397{col 67}{space 3} .0002829
{txt}{space 8}4 4  {c |}{col 14}{res}{space 2} .0001321{col 26}{space 2} 5.58e-06{col 37}{space 1}   23.66{col 46}{space 3}0.000{col 54}{space 4} .0001212{col 67}{space 3} .0001431
{txt}{space 8}4 5  {c |}{col 14}{res}{space 2} .0001105{col 26}{space 2} 6.28e-06{col 37}{space 1}   17.60{col 46}{space 3}0.000{col 54}{space 4} .0000982{col 67}{space 3} .0001228
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2}  .000085{col 26}{space 2}   .00001{col 37}{space 1}    8.48{col 46}{space 3}0.000{col 54}{space 4} .0000653{col 67}{space 3} .0001047
{txt}{space 8}5 2  {c |}{col 14}{res}{space 2} .0000599{col 26}{space 2} .0000114{col 37}{space 1}    5.25{col 46}{space 3}0.000{col 54}{space 4} .0000375{col 67}{space 3} .0000823
{txt}{space 8}5 3  {c |}{col 14}{res}{space 2} .0002849{col 26}{space 2}  .000083{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4}  .000122{col 67}{space 3} .0004479
{txt}{space 8}5 4  {c |}{col 14}{res}{space 2} .0001543{col 26}{space 2} .0000105{col 37}{space 1}   14.66{col 46}{space 3}0.000{col 54}{space 4} .0001337{col 67}{space 3}  .000175
{txt}{space 8}5 5  {c |}{col 14}{res}{space 2} .0001408{col 26}{space 2} .0000138{col 37}{space 1}   10.21{col 46}{space 3}0.000{col 54}{space 4} .0001137{col 67}{space 3} .0001679
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0000642{col 26}{space 2} .0000105{col 37}{space 1}    6.11{col 46}{space 3}0.000{col 54}{space 4} .0000436{col 67}{space 3} .0000848
{txt}{space 8}6 2  {c |}{col 14}{res}{space 2} .0000594{col 26}{space 2} .0000162{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} .0000275{col 67}{space 3} .0000912
{txt}{space 8}6 3  {c |}{col 14}{res}{space 2} .0003841{col 26}{space 2} .0001588{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .0000724{col 67}{space 3} .0006959
{txt}{space 8}6 4  {c |}{col 14}{res}{space 2} .0001803{col 26}{space 2} .0000186{col 37}{space 1}    9.71{col 46}{space 3}0.000{col 54}{space 4} .0001439{col 67}{space 3} .0002167
{txt}{space 8}6 5  {c |}{col 14}{res}{space 2} .0001795{col 26}{space 2} .0000255{col 37}{space 1}    7.03{col 46}{space 3}0.000{col 54}{space 4} .0001293{col 67}{space 3} .0002296
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_BornUSA BornUSA 5 `model'

                    {txt}std_same_prop_BornUSA
{hline 61}
      Percentiles      Smallest
 1%    {res}-5.045306      -7.936538
{txt} 5%    {res}-2.723737      -7.936538
{txt}10%    {res}-1.754185      -7.936538       {txt}Obs         {res}135,582,733
{txt}25%    {res}-.5298624      -7.936538       {txt}Sum of Wgt. {res}  135582733

{txt}50%    {res} .1534955                      {txt}Mean          {res}-.1095675
                        {txt}Largest       Std. Dev.     {res} 1.400314
{txt}75%    {res} .6318931       7.936538
{txt}90%    {res} .8333296       7.936538       {txt}Variance      {res} 1.960879
{txt}95%    {res} .9703126       7.936538       {txt}Skewness      {res}-.7379761
{txt}99%    {res} 4.547946       7.936538       {txt}Kurtosis      {res} 8.840372

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,764,378

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,786,443
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,079,265
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0001
{txt}{col 47}Largest FMI{col 65}= {res}      0.0006
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      914.45
{txt}{col 47}        avg{col 65}= {res}      914.66
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      914.82

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 2}-7.936538}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 2}-4.761923}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 2}-1.587308}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 3}1.587308}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 3}4.761923}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~A}{space 4}{txt:=} {space 3}7.936538}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}_at#BornUSA {c |}
{space 8}1 0  {c |}{col 14}{res}{space 2}  .000146{col 26}{space 2} .0000267{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} .0000936{col 67}{space 3} .0001984
{txt}{space 8}1 1  {c |}{col 14}{res}{space 2} .0001158{col 26}{space 2} .0000105{col 37}{space 1}   11.05{col 46}{space 3}0.000{col 54}{space 4} .0000953{col 67}{space 3} .0001364
{txt}{space 8}2 0  {c |}{col 14}{res}{space 2} .0001281{col 26}{space 2} .0000157{col 37}{space 1}    8.15{col 46}{space 3}0.000{col 54}{space 4} .0000972{col 67}{space 3} .0001589
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0001311{col 26}{space 2} 6.68e-06{col 37}{space 1}   19.63{col 46}{space 3}0.000{col 54}{space 4}  .000118{col 67}{space 3} .0001442
{txt}{space 8}3 0  {c |}{col 14}{res}{space 2} .0001124{col 26}{space 2} 7.28e-06{col 37}{space 1}   15.43{col 46}{space 3}0.000{col 54}{space 4} .0000981{col 67}{space 3} .0001266
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0001483{col 26}{space 2} 2.00e-06{col 37}{space 1}   74.29{col 46}{space 3}0.000{col 54}{space 4} .0001444{col 67}{space 3} .0001522
{txt}{space 8}4 0  {c |}{col 14}{res}{space 2} .0000986{col 26}{space 2} 2.92e-06{col 37}{space 1}   33.80{col 46}{space 3}0.000{col 54}{space 4} .0000928{col 67}{space 3} .0001043
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0001678{col 26}{space 2} 5.15e-06{col 37}{space 1}   32.58{col 46}{space 3}0.000{col 54}{space 4} .0001577{col 67}{space 3} .0001779
{txt}{space 8}5 0  {c |}{col 14}{res}{space 2} .0000865{col 26}{space 2} 6.17e-06{col 37}{space 1}   14.02{col 46}{space 3}0.000{col 54}{space 4} .0000744{col 67}{space 3} .0000986
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0001899{col 26}{space 2} .0000133{col 37}{space 1}   14.32{col 46}{space 3}0.000{col 54}{space 4} .0001639{col 67}{space 3} .0002159
{txt}{space 8}6 0  {c |}{col 14}{res}{space 2} .0000759{col 26}{space 2} 9.84e-06{col 37}{space 1}    7.71{col 46}{space 3}0.000{col 54}{space 4} .0000565{col 67}{space 3} .0000952
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0002148{col 26}{space 2} .0000235{col 37}{space 1}    9.14{col 46}{space 3}0.000{col 54}{space 4} .0001687{col 67}{space 3}  .000261
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.         margin_interact std_same_prop_MarStat5 MarStat5 5 `model'

                   {txt}std_same_prop_MarStat5
{hline 61}
      Percentiles      Smallest
 1%    {res}-2.292691      -4.824302
{txt} 5%    {res}-1.574807      -4.824302
{txt}10%    {res}-1.168543      -4.824302       {txt}Obs         {res}135,582,272
{txt}25%    {res}-.5012236      -4.824302       {txt}Sum of Wgt. {res}  135582272

{txt}50%    {res} .1833285                      {txt}Mean          {res} .1423099
                        {txt}Largest       Std. Dev.     {res} 1.051846
{txt}75%    {res} .8066256         5.1647
{txt}90%    {res} 1.365528         5.1647       {txt}Variance      {res}  1.10638
{txt}95%    {res} 1.765109         5.1647       {txt}Skewness      {res} .0184338
{txt}99%    {res} 2.683285         5.1647       {txt}Kurtosis      {res}  4.57374

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,764,378

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,786,443
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,079,265
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0060
{txt}{col 47}Largest FMI{col 65}= {res}      0.0201
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      862.42
{txt}{col 47}        avg{col 65}= {res}      903.29
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      914.14

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 2}-4.824302}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 2}-2.826501}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 2}-.8287008}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 5}1.1691}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 5}3.1669}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_~t5}{space 4}{txt:=} {space 5}5.1647}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#MarStat5 {c |}
{space 8}1 1  {c |}{col 14}{res}{space 2} .0001416{col 26}{space 2} 7.80e-06{col 37}{space 1}   18.16{col 46}{space 3}0.000{col 54}{space 4} .0001263{col 67}{space 3} .0001569
{txt}{space 8}1 2  {c |}{col 14}{res}{space 2} .0002748{col 26}{space 2} .0000284{col 37}{space 1}    9.68{col 46}{space 3}0.000{col 54}{space 4} .0002191{col 67}{space 3} .0003305
{txt}{space 8}1 3  {c |}{col 14}{res}{space 2} .0003481{col 26}{space 2}  .000022{col 37}{space 1}   15.81{col 46}{space 3}0.000{col 54}{space 4} .0003049{col 67}{space 3} .0003913
{txt}{space 8}1 4  {c |}{col 14}{res}{space 2} .0001506{col 26}{space 2} .0000554{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .0000418{col 67}{space 3} .0002594
{txt}{space 8}1 5  {c |}{col 14}{res}{space 2} .0001398{col 26}{space 2} 7.69e-06{col 37}{space 1}   18.18{col 46}{space 3}0.000{col 54}{space 4} .0001247{col 67}{space 3} .0001549
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0001233{col 26}{space 2} 4.07e-06{col 37}{space 1}   30.26{col 46}{space 3}0.000{col 54}{space 4} .0001153{col 67}{space 3} .0001313
{txt}{space 8}2 2  {c |}{col 14}{res}{space 2} .0002406{col 26}{space 2} .0000145{col 37}{space 1}   16.59{col 46}{space 3}0.000{col 54}{space 4} .0002122{col 67}{space 3} .0002691
{txt}{space 8}2 3  {c |}{col 14}{res}{space 2}  .000311{col 26}{space 2}  .000012{col 37}{space 1}   25.89{col 46}{space 3}0.000{col 54}{space 4} .0002874{col 67}{space 3} .0003346
{txt}{space 8}2 4  {c |}{col 14}{res}{space 2} .0001137{col 26}{space 2} .0000266{col 37}{space 1}    4.27{col 46}{space 3}0.000{col 54}{space 4} .0000614{col 67}{space 3}  .000166
{txt}{space 8}2 5  {c |}{col 14}{res}{space 2} .0001566{col 26}{space 2} 5.59e-06{col 37}{space 1}   28.02{col 46}{space 3}0.000{col 54}{space 4} .0001457{col 67}{space 3} .0001676
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0001073{col 26}{space 2} 1.51e-06{col 37}{space 1}   70.89{col 46}{space 3}0.000{col 54}{space 4} .0001043{col 67}{space 3} .0001102
{txt}{space 8}3 2  {c |}{col 14}{res}{space 2} .0002107{col 26}{space 2} 5.28e-06{col 37}{space 1}   39.92{col 46}{space 3}0.000{col 54}{space 4} .0002004{col 67}{space 3} .0002211
{txt}{space 8}3 3  {c |}{col 14}{res}{space 2} .0002778{col 26}{space 2} 4.77e-06{col 37}{space 1}   58.24{col 46}{space 3}0.000{col 54}{space 4} .0002685{col 67}{space 3} .0002872
{txt}{space 8}3 4  {c |}{col 14}{res}{space 2} .0000858{col 26}{space 2} 1.00e-05{col 37}{space 1}    8.58{col 46}{space 3}0.000{col 54}{space 4} .0000662{col 67}{space 3} .0001054
{txt}{space 8}3 5  {c |}{col 14}{res}{space 2} .0001755{col 26}{space 2} 3.20e-06{col 37}{space 1}   54.78{col 46}{space 3}0.000{col 54}{space 4} .0001692{col 67}{space 3} .0001818
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0000934{col 26}{space 2} 1.76e-06{col 37}{space 1}   53.16{col 46}{space 3}0.000{col 54}{space 4} .0000899{col 67}{space 3} .0000968
{txt}{space 8}4 2  {c |}{col 14}{res}{space 2} .0001845{col 26}{space 2} 7.49e-06{col 37}{space 1}   24.63{col 46}{space 3}0.000{col 54}{space 4} .0001698{col 67}{space 3} .0001992
{txt}{space 8}4 3  {c |}{col 14}{res}{space 2} .0002482{col 26}{space 2} 5.04e-06{col 37}{space 1}   49.29{col 46}{space 3}0.000{col 54}{space 4} .0002383{col 67}{space 3} .0002581
{txt}{space 8}4 4  {c |}{col 14}{res}{space 2} .0000648{col 26}{space 2} 6.94e-06{col 37}{space 1}    9.33{col 46}{space 3}0.000{col 54}{space 4} .0000512{col 67}{space 3} .0000784
{txt}{space 8}4 5  {c |}{col 14}{res}{space 2} .0001965{col 26}{space 2} 2.81e-06{col 37}{space 1}   69.97{col 46}{space 3}0.000{col 54}{space 4}  .000191{col 67}{space 3} .0002021
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0000813{col 26}{space 2} 3.21e-06{col 37}{space 1}   25.34{col 46}{space 3}0.000{col 54}{space 4}  .000075{col 67}{space 3} .0000876
{txt}{space 8}5 2  {c |}{col 14}{res}{space 2} .0001616{col 26}{space 2} .0000132{col 37}{space 1}   12.22{col 46}{space 3}0.000{col 54}{space 4} .0001356{col 67}{space 3} .0001875
{txt}{space 8}5 3  {c |}{col 14}{res}{space 2} .0002217{col 26}{space 2} 9.52e-06{col 37}{space 1}   23.29{col 46}{space 3}0.000{col 54}{space 4} .0002031{col 67}{space 3} .0002404
{txt}{space 8}5 4  {c |}{col 14}{res}{space 2} .0000489{col 26}{space 2} .0000108{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .0000277{col 67}{space 3} .0000701
{txt}{space 8}5 5  {c |}{col 14}{res}{space 2} .0002202{col 26}{space 2} 6.56e-06{col 37}{space 1}   33.58{col 46}{space 3}0.000{col 54}{space 4} .0002073{col 67}{space 3}  .000233
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0000707{col 26}{space 2} 4.36e-06{col 37}{space 1}   16.20{col 46}{space 3}0.000{col 54}{space 4} .0000622{col 67}{space 3} .0000793
{txt}{space 8}6 2  {c |}{col 14}{res}{space 2} .0001415{col 26}{space 2} .0000178{col 37}{space 1}    7.96{col 46}{space 3}0.000{col 54}{space 4} .0001066{col 67}{space 3} .0001763
{txt}{space 8}6 3  {c |}{col 14}{res}{space 2} .0001981{col 26}{space 2} .0000134{col 37}{space 1}   14.76{col 46}{space 3}0.000{col 54}{space 4} .0001717{col 67}{space 3} .0002244
{txt}{space 8}6 4  {c |}{col 14}{res}{space 2} .0000369{col 26}{space 2} .0000131{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0000113{col 67}{space 3} .0000626
{txt}{space 8}6 5  {c |}{col 14}{res}{space 2} .0002466{col 26}{space 2}  .000012{col 37}{space 1}   20.50{col 46}{space 3}0.000{col 54}{space 4}  .000223{col 67}{space 3} .0002702
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}. 
.         if (`model_version' == 6) {c -(}
.                 estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                 margin_interact std_same_prop_UnEmpl UnEmpl 5 `model'

                    {txt}std_same_prop_UnEmpl
{hline 61}
      Percentiles      Smallest
 1%    {res}-2.422866      -5.256251
{txt} 5%    {res}-1.473278      -5.256251
{txt}10%    {res}-1.055818      -5.256251       {txt}Obs         {res}135,334,296
{txt}25%    {res}-.6145594      -5.256251       {txt}Sum of Wgt. {res}  135334296

{txt}50%    {res} .1522239                      {txt}Mean          {res} .0244813
                        {txt}Largest       Std. Dev.     {res} .9458323
{txt}75%    {res} .6237007       5.256251
{txt}90%    {res} 1.075561       5.256251       {txt}Variance      {res} .8945988
{txt}95%    {res} 1.334634       5.256251       {txt}Skewness      {res}-1.054592
{txt}99%    {res} 1.864986       5.256251       {txt}Kurtosis      {res}  7.51882

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,764,378

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,786,443
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,079,265
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0813
{txt}{col 47}Largest FMI{col 65}= {res}      0.2445
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      132.35
{txt}{col 47}        avg{col 65}= {res}      540.64
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      846.87

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 2}-5.256251}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 2}-3.153751}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 3}-1.05125}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 4}1.05125}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 3}3.153751}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~l}{space 4}{txt:=} {space 3}5.256251}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}_at#UnEmpl {c |}
{space 8}1 0  {c |}{col 14}{res}{space 2}  .000053{col 26}{space 2} 7.31e-06{col 37}{space 1}    7.25{col 46}{space 3}0.000{col 54}{space 4} .0000386{col 67}{space 3} .0000673
{txt}{space 8}1 1  {c |}{col 14}{res}{space 2} .0022722{col 26}{space 2} .0003924{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} .0015009{col 67}{space 3} .0030435
{txt}{space 8}2 0  {c |}{col 14}{res}{space 2} .0000726{col 26}{space 2} 5.99e-06{col 37}{space 1}   12.13{col 46}{space 3}0.000{col 54}{space 4} .0000609{col 67}{space 3} .0000844
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0015093{col 26}{space 2} .0001655{col 37}{space 1}    9.12{col 46}{space 3}0.000{col 54}{space 4} .0011839{col 67}{space 3} .0018346
{txt}{space 8}3 0  {c |}{col 14}{res}{space 2} .0000996{col 26}{space 2} 2.87e-06{col 37}{space 1}   34.65{col 46}{space 3}0.000{col 54}{space 4}  .000094{col 67}{space 3} .0001052
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0010023{col 26}{space 2} .0000516{col 37}{space 1}   19.43{col 46}{space 3}0.000{col 54}{space 4} .0009006{col 67}{space 3}  .001104
{txt}{space 8}4 0  {c |}{col 14}{res}{space 2} .0001366{col 26}{space 2} 4.59e-06{col 37}{space 1}   29.76{col 46}{space 3}0.000{col 54}{space 4} .0001276{col 67}{space 3} .0001456
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0006656{col 26}{space 2} .0000278{col 37}{space 1}   23.96{col 46}{space 3}0.000{col 54}{space 4} .0006106{col 67}{space 3} .0007205
{txt}{space 8}5 0  {c |}{col 14}{res}{space 2} .0001873{col 26}{space 2} .0000164{col 37}{space 1}   11.41{col 46}{space 3}0.000{col 54}{space 4} .0001551{col 67}{space 3} .0002195
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2}  .000442{col 26}{space 2} .0000427{col 37}{space 1}   10.36{col 46}{space 3}0.000{col 54}{space 4} .0003581{col 67}{space 3} .0005259
{txt}{space 8}6 0  {c |}{col 14}{res}{space 2} .0002569{col 26}{space 2} .0000368{col 37}{space 1}    6.98{col 46}{space 3}0.000{col 54}{space 4} .0001847{col 67}{space 3} .0003291
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0002936{col 26}{space 2} .0000468{col 37}{space 1}    6.27{col 46}{space 3}0.000{col 54}{space 4} .0002016{col 67}{space 3} .0003855
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.                 estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)
{com}.                 margin_interact std_same_prop_PhysProb PhysProb 5 `model'

                   {txt}std_same_prop_PhysProb
{hline 61}
      Percentiles      Smallest
 1%    {res} -2.23507      -4.051959
{txt} 5%    {res}-1.302234      -4.051959
{txt}10%    {res}-.9170214      -4.051959       {txt}Obs         {res}135,576,336
{txt}25%    {res}-.4860743      -4.051959       {txt}Sum of Wgt. {res}  135576336

{txt}50%    {res} .3726953                      {txt}Mean          {res} .2796852
                        {txt}Largest       Std. Dev.     {res} .9714683
{txt}75%    {res} .9583569       4.051959
{txt}90%    {res}  1.46031       4.051959       {txt}Variance      {res} .9437506
{txt}95%    {res} 1.737546       4.051959       {txt}Skewness      {res}-.3642149
{txt}99%    {res} 2.235158       4.051959       {txt}Kurtosis      {res} 3.305471

{txt}Multiple-imputation estimates{col 47}Imputations{col 65}= {res}          10
{txt}Predictive margins{col 47}Number of obs{col 65}= {res}  11,764,378

{txt}{col 1}Number of strata{col 19}= {res}        1{txt}{col 47}Population size{col 65}={res}  418,786,443
{txt}{col 1}Number of PSUs{col 19}= {res}      918{txt}{col 47}Subpop. no. obs{col 65}={res}   11,079,265
{txt}{col 47}Subpop. size{col 65}={res}            .
{txt}{col 47}Average RVI{col 65}= {res}      0.0124
{txt}{col 47}Largest FMI{col 65}= {res}      0.0358
{txt}{col 47}Complete DF{col 65}= {res}         917
{txt}DF adjustment:{ralign 15: {res:Small sample}}{col 47}DF:     min{col 65}= {res}      785.74
{txt}{col 47}        avg{col 65}= {res}      861.77
{txt}Within VCE type: {ralign 12:{res:Delta-method}}{col 47}        max{col 65}= {res}      909.47

{txt}Expression{col 14}: {res}Pr(Suic), predict(pr)

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 2}-4.051959}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 2}-2.431175}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 2}-.8103918}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 3}.8103918}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 3}2.431175}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:std_same_p~b}{space 4}{txt:=} {space 3}4.051959}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_at#PhysProb {c |}
{space 8}1 0  {c |}{col 14}{res}{space 2}  .000278{col 26}{space 2} .0000236{col 37}{space 1}   11.78{col 46}{space 3}0.000{col 54}{space 4} .0002317{col 67}{space 3} .0003243
{txt}{space 8}1 1  {c |}{col 14}{res}{space 2}  .000332{col 26}{space 2} .0000357{col 37}{space 1}    9.29{col 46}{space 3}0.000{col 54}{space 4} .0002619{col 67}{space 3} .0004022
{txt}{space 8}2 0  {c |}{col 14}{res}{space 2} .0002171{col 26}{space 2} .0000121{col 37}{space 1}   17.90{col 46}{space 3}0.000{col 54}{space 4} .0001933{col 67}{space 3}  .000241
{txt}{space 8}2 1  {c |}{col 14}{res}{space 2} .0002765{col 26}{space 2} .0000181{col 37}{space 1}   15.26{col 46}{space 3}0.000{col 54}{space 4}  .000241{col 67}{space 3} .0003121
{txt}{space 8}3 0  {c |}{col 14}{res}{space 2} .0001696{col 26}{space 2} 4.65e-06{col 37}{space 1}   36.46{col 46}{space 3}0.000{col 54}{space 4} .0001605{col 67}{space 3} .0001787
{txt}{space 8}3 1  {c |}{col 14}{res}{space 2} .0002303{col 26}{space 2} 6.67e-06{col 37}{space 1}   34.55{col 46}{space 3}0.000{col 54}{space 4} .0002172{col 67}{space 3} .0002434
{txt}{space 8}4 0  {c |}{col 14}{res}{space 2} .0001325{col 26}{space 2} 1.35e-06{col 37}{space 1}   97.84{col 46}{space 3}0.000{col 54}{space 4} .0001298{col 67}{space 3} .0001351
{txt}{space 8}4 1  {c |}{col 14}{res}{space 2} .0001918{col 26}{space 2} 6.70e-06{col 37}{space 1}   28.65{col 46}{space 3}0.000{col 54}{space 4} .0001787{col 67}{space 3}  .000205
{txt}{space 8}5 0  {c |}{col 14}{res}{space 2} .0001035{col 26}{space 2} 3.55e-06{col 37}{space 1}   29.11{col 46}{space 3}0.000{col 54}{space 4} .0000965{col 67}{space 3} .0001104
{txt}{space 8}5 1  {c |}{col 14}{res}{space 2} .0001598{col 26}{space 2} .0000118{col 37}{space 1}   13.55{col 46}{space 3}0.000{col 54}{space 4} .0001366{col 67}{space 3} .0001829
{txt}{space 8}6 0  {c |}{col 14}{res}{space 2} .0000808{col 26}{space 2} 5.10e-06{col 37}{space 1}   15.85{col 46}{space 3}0.000{col 54}{space 4} .0000708{col 67}{space 3} .0000908
{txt}{space 8}6 1  {c |}{col 14}{res}{space 2} .0001331{col 26}{space 2} .0000155{col 37}{space 1}    8.60{col 46}{space 3}0.000{col 54}{space 4} .0001027{col 67}{space 3} .0001635
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{com}.         {c )-}
. 
. {c )-}
{txt}
{com}. 
. 
. log close 
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/N/project/suicide_study/pnas_replication/results/log/mi_6.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}21 Aug 2020, 03:54:50
{txt}{.-}
{smcl}
{txt}{sf}{ul off}